In this paper, GNSS spoofing detection algorithm using adaptive fading Kalman filter is proposed to detect spoofing signal which is one of the threatening GNSS intentional interference. In order to detect and mitigate the spoofing signal, the fading factor of the filter is used as a detection parameter. For simulation, the effect of spoofing signal is modeled by the ramp type bias error of the pseudorange to emulate smart spoofer and the change of the fading factor value according to ramp type bias error is used to compare with the detection threshold. In addition, the value of the fading factor is applied to adjust Kalman gain and the effect of spoofing is mitigated by controlling Kalman gain of the filter. To verify the performance of the proposed algorithm, a simple simulation is implemented. Through the result of simulation, we confirmed that the proposed algorithm works well in the multiple channels situation.

Keywords: GNSS spoofing, spoofing detection parameter, spoofing detection, spoofing mitigation, adaptive fading Kalman filter